An analysis of a large scale habitat monitoring application

By Robert Szewczyk, Alan M. Mainwaring, Joseph Polastre, John Anderson, David E. Culler. ACM International Conference on Embedded Networked Sensor Systems, 2004

1,138 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fbdec0e12dd833933242f204130c8fbcecf73e77

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, methodology): “For sensing purposes, the working schedules of sensor nodes are normally periodic [2, 11, 34 , 36].”
Reliability in wireless sensor networks: A survey and challenges ahead (2015, neutral): “They can operate for prolonged periods in habitats that are hostile, challenging or ecologically too sensitive for human visitation [5].”
Reputation-based framework for high integrity sensor networks (2004, background): “Szewczyk et al. [2004] have coupled Surge with BMAC [Polastre et al.”
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks (2007, methodology): “In 2003, a set of wireless sensors were deployed in the Great Duck Island in Maine, USA for monitoring the habitat of a sea bird called the Leach’s Storm Petrel [24].”
Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks (2007, background): “The first category is environmental monitoring; networks deployed in Great Duck Island [22] and a Redwood forest [24] are examples of this class.”
A wireless sensor network for structural health monitoring: performance and experience (2005, neutral): “However, there have been relatively few reports in the literature on systems implementing a “realistic” application: the work on the Great Duck Island testbed [10, 9] is a noteworthy exception.”
Trio: enabling sustainable and scalable outdoor wireless sensor network deployments (2006, methodology): “VigilNet [9], GDI [20], and Redwoods [22] used a count your pennies approach which requires meticulous analysis of energy usage and a .ne-grained allocation of the available energy.”
CitySense: An Urban-Scale Wireless Sensor Network and Testbed (2008, background): “Recent developments include campus-wide and community-wide wireless mesh networks [12, 9, 14], in-depth studies of the dynamics of wireless networks in mobile and static settings [13, 18, 10], and real-world sensor network deployments in environments as diverse as forests [27, 4], active volcanoes [”
MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks (2006, background): “For habitat and environment monitoring, unobtrusive observation is key for studying natural phenomena [25].”
The Tenet architecture for tiered sensor networks (2006, background): “Examples include the Great Duck Island deployment [35], the James Reserve Extensible Sensing System [10], and the Extreme Scaling Network [ 2].”
An empirical study of low-power wireless (2010, background): “[66] presented network data from a deployment on an island off the coast of Maine.”
VigilNet: An integrated sensor network system for energy-efficient surveillance (2006, background): “The GDI Project [Szewczyk et al. 2004] provides an environmental monitoring system to record animal behaviors for a long period of time.”
Compressive data gathering for large-scale wireless sensor networks (2009, background): “Data gathering sensor network finds a variety of applications in infrastructure and habitat monitoring [8][23].”
Sensor network data fault types (2009, background): “As an example of a constant environment characteristic which may lead to faulty data, Szewczyk et al. [2004] suggests that since their sensor packaging was IR transparent, a mote would heat up in direct sunlight and report higher than expected temperatures.”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “…have been widely used in a variety of long-term and critical applications, including event detection [18], [35], [59], [92], [105], target tracking [28], [74], [103], environment and habitat monitoring [36], [63], [77], localization [96], [101], [102], safety navigation [14], [17], [49], and so on.”